Journal articles: 'Universal software radio peripheral'

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Rojas, Cristian R., Per Zetterberg, and Peter Handel. "Transceiver Inphase/Quadrature Imbalance, Ellipse Fitting, and the Universal Software Radio Peripheral." IEEE Transactions on Instrumentation and Measurement 60, no. 11 (November 2011): 3629–39. http://dx.doi.org/10.1109/tim.2011.2138290.

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Ryabov, I. V., P. V. Nikitin, R. I. Bazhenov, A. I. Melnikova, and R. I. Gorokhova. "Physical principles of work and basic features of Universal Software Radio Peripheral." Journal of Physics: Conference Series 1728 (January 2021): 012013. http://dx.doi.org/10.1088/1742-6596/1728/1/012013.

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Hafidudin, Muhamad Fahru Rizal, and Dadan Nur Ramadan. "Implementation of USRP (Universal Software Peripheral Radio) as OpenBTS for Quadruple Play Services." Journal of Physics: Conference Series 1364 (December 2019): 012037. http://dx.doi.org/10.1088/1742-6596/1364/1/012037.

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Tanoli, Shujaat, Mubashir Rehman, Muhammad Khan, Ihtesham Jadoon, Farman Ali Khan, Faiza Nawaz, Syed Shah, Xiaodong Yang, and Ali Nasir. "An Experimental Channel Capacity Analysis of Cooperative Networks Using Universal Software Radio Peripheral (USRP)." Sustainability 10, no. 6 (June 13, 2018): 1983. http://dx.doi.org/10.3390/su10061983.

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Handel, P., and P. Zetterberg. "Receiver I/Q Imbalance: Tone Test, Sensitivity Analysis, and the Universal Software Radio Peripheral." IEEE Transactions on Instrumentation and Measurement 59, no. 3 (March 2010): 704–14. http://dx.doi.org/10.1109/tim.2009.2025989.

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Lu, Jinlong, J. Harshan, and Frédérique Oggier. "Performance of lattice coset codes on Universal Software Radio Peripherals." Physical Communication 24 (September 2017): 94–102. http://dx.doi.org/10.1016/j.phycom.2017.04.004.

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Utami, Alifia Fitri, Iswandi Iswandi, and I. Wayan Mustika. "Random Time Delay Mitigation in Pulse Radar Systems Implementation using Universal Software Radio Peripheral (USRP) and GNU Radio Companion (GRC)." IJITEE (International Journal of Information Technology and Electrical Engineering) 2, no. 3 (February 26, 2019): 85. http://dx.doi.org/10.22146/ijitee.42873.

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Abstract— Radar or radio detection and ranging has a basic function to detect and measure a target range. One of the latest developments is Software Defined Radio (SDR)-based radar. An example of SDR implementation is by using Universal Software Radio Peripheral (USRP) as hardware and GNU Radio Companion (GRC) as software. The simplest radar type is pulse radar in which system timing is crucial. Meanwhile, in pulse radar system implementation using USRP and GRC, there is an issue with the random processing time delay between communication protocol of USRP and computer running the GRC, which causes incorrect measurement. This research aims to analyze the random time delay in the pulse radar system implementation by using USRP and GRC to anticipate the effect of random time delay. Pulse radar systems implementation is administered by transmitting 128 bits of Barker code and performing correlation between transmitted and received radar signal. Research result shows that the random time delay can be anticipated by making the direct reception from radar transmitter to receiver as the reference in range calculation.

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Toker, Onur, and Ozgur Ozdemir. "A Synthetic Wide-Bandwidth Radar System Using Software Defined Radios." Engineering Proceedings 2, no. 1 (November 14, 2020): 9. http://dx.doi.org/10.3390/ecsa-7-08174.

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In this paper, we present a synthetic wide-bandwidth radar system using software-defined radios (SDR), and demonstrate the proposed approach using a Universal Software Radio Peripheral (USRP) device. Normally, USRP devices have tens of MHz bandwidth, and cannot generate large bandwidth sweeps to achieve cm-level range resolution. By using a synthetic wide-bandwidth approach, we can generate frequency sweeps up to 5 GHz bandwidth and obtain high-resolution range profiles. We will first summarize the mathematical details of the proposed approach, then present a pure Python-based solution using the UHD library, a GNU radio and Octave-based implementation, and finally present experimental results for two different test cases. The developed code is available in a public GitHub repository. Compared to frequency-modulated continuous-wave (FMCW) radars with a voltage-controlled oscillator, the sweep time or the experimental duration are longer, but very large bandwidth sweeps can be realized easily by using low-cost USRP devices, and sweeps are more accurate. All of our experimental results indicate the effectiveness of the proposed low-cost software-defined radar system.

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Sheybani, Ehsan, and Giti Javidi. "Integrating Software Defined Radio with USRP." International Journal of Interdisciplinary Telecommunications and Networking 9, no. 3 (July 2017): 1–9. http://dx.doi.org/10.4018/ijitn.2017070101.

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The USRP1 is the original Universal Software Radio Peripheral hardware (USRP) that provides entry-level RF processing capability. Its primary purpose is to provide flexible software defined radio development capability at a low price. You can control the frequency you receive and transmit by installing different daughter-boards. The authors' USRP model had been configured to receive a signal from local radio stations in the DC, Maryland metropolitan area with the BasicRX model daughterboard. The programmable USRP was running python block code implemented in the GNU Radio Companion (GRC) on Ubuntu OS. With proper parameters and sinks the authors were able to tune into the radio signal, record the signal and extract the in-phase (I) and quadrature phase (Q) data and plot the phase and magnitude of the signal. Using the terminal along with proper MATLAB and Octave code, they were able to read the I/Q data and look at the Fast Fourier Transform (FFT) plot along with the I/Q data. With the proper equations, you could determine not only the direction of arrival, but one would also be able to calculate the distance from the receiver to the exact location where the signal is being transmitted. The purpose of doing this experiment was to gain experience in signal processing and receive hands on experience with the USRP and potentially add a tracking system to the authors' model for further experiments.

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Geng, Yong, Si Long Wu, and Fang Kun Jia. "The Research of Chirp Signal Based on GNU Radio and USRP." Applied Mechanics and Materials 336-338 (July 2013): 1765–70. http://dx.doi.org/10.4028/www.scientific.net/amm.336-338.1765.

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This paper put forward a research of the chirp signal and its generated method. The research was based on a software-defined radio (SDR) system, which was composed of GNU Radio and Universal Software Radio Peripheral (USRP). It introduced the chirp signal and design algorithm to show how to generate the chirp signal based on DDS technique. And it provided two platforms including the FPGA platform and SDR platform to generate the chirp waveforms. Finally, it analyzed the difference between the two platforms. From the waveforms using these two platforms displayed in oscilloscope, it found that the results based on SDR were better. And it demonstrated that advantages of GNU Radio and USRP.

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Kamatham, Dr Yedukondalu, and Naveen Talati. "Implementation of 2x2 MIMO-OFDM System using Universal Software Radio Peripherals." CVR Journal of Science & Technology 18, no. 1 (June 1, 2020): 22–27. http://dx.doi.org/10.32377/cvrjst1804.

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Szlachetko, Bogusław, and Andrzej Lewandowski. "A Multichannel Receiver of the Experimental FM Based Passive Radar Using Software Defined Radio Technology." International Journal of Electronics and Telecommunications 58, no. 4 (December 1, 2012): 301–6. http://dx.doi.org/10.2478/v10177-012-0041-3.

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Abstract In this paper we present results of research on multichannel receiver using Software Defined Radio technology. This receiver is a part of the experimental FM based passive radar being designed. The hardware platform of the receiver consists of the Universal Software Defined Radio Peripheral devices. In the paper we propose modifications of the USRP’s FPGA configuration and GNU Radio code. These modifications allow for developing six/nine synchronous input channel receiver based on two/tree USRPs respectively. Issues of synchronization of separate USRP devices by assuring synchronous sampling were presented. We also propose the solution of the problem of the alignment of the data streams being sent from USRP devices via USB to the PC host.

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Park, Hyun Jae, Gyu-min Lee, Seung-Hun Shin, Byeong-hee Roh, and Ji Myeong Oh. "Implementation of Multi-Hop Cognitive Radio Testbed using Raspberry Pi and USRP." International Journal of Interdisciplinary Telecommunications and Networking 9, no. 4 (October 2017): 37–48. http://dx.doi.org/10.4018/ijitn.2017100105.

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The increased usage of wireless communication has created a wireless frequency shortage problem. Cognitive Radio (CR) has attracted public attention, as one of the solutions that can resolve this issue. In this paper, the authors built an actual CR system testbed using the SDR (Software Defined Radio) platform, USRP (Universal Software Radio Peripheral) board, the SDR development toolkit, GNU Radio, and Raspberry Pi3, which is a single board computer. They configured Secondary User (SU)s with Raspberry Pi3 for straightforward and portable test environment. The authors' testbed performs spectrum sensing based on energy detection and determines whether the channel is occupied or not. Experimental results not only show performance but also provide their testbed that works well in multi-hop environments.

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Das, Diptashree, Mehdi Nasrollahpour, Ziyue Xu, Mohsen Zaeimbashi, Isabel Martos-Repath, Ankit Mittal, Adam Khalifa, et al. "A Radio Frequency Magnetoelectric Antenna Prototyping Platform for Neural Activity Monitoring Devices with Sensing and Energy Harvesting Capabilities." Electronics 9, no. 12 (December 11, 2020): 2123. http://dx.doi.org/10.3390/electronics9122123.

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This article describes the development of a radio frequency (RF) platform for electromagnetically modulated signals that makes use of a software-defined radio (SDR) to receive information from a novel magnetoelectric (ME) antenna capable of sensing low-frequency magnetic fields with ultra-low magnitudes. The platform is employed as part of research and development to utilize miniaturized ME antennas and integrated circuits for neural recording with wireless implantable devices. To prototype the reception of electromagnetically modulated signals from a sensor, a versatile Universal Software Radio Peripheral (USRP) and the GNU Radio toolkit are utilized to enable real-time signal processing under varying operating conditions. Furthermore, it is demonstrated how a radio frequency signal transmitted from the SDR can be captured by the ME antenna for wireless energy harvesting.

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Costanzo, S., F. Spadafora, A. Borgia, H. O. Moreno, A. Costanzo, and G. Di Massa. "High Resolution Software Defined Radar System for Target Detection." Journal of Electrical and Computer Engineering 2013 (2013): 1–7. http://dx.doi.org/10.1155/2013/573217.

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The Universal Software Radio Peripheral USRP NI2920, a software defined transceiver so far mainly used in Software Defined Radio applications, is adopted in this work to design a high resolution L-Band Software Defined Radar system. The enhanced available bandwidth, due to the Gigabit Ethernet interface, is exploited to obtain a higher slant-range resolution with respect to the existing Software Defined Radar implementations. A specific LabVIEW application, performing radar operations, is discussed, and successful validations are presented to demonstrate the accurate target detection capability of the proposed software radar architecture. In particular, outdoor and indoor test are performed by adopting a metal plate as reference structure located at different distances from the designed radar system, and results obtained from the measured echo are successfully processed to accurately reveal the correct target position, with the predicted slant-range resolution equal to 6 m.

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Ajala, Sunday, Emmanuel Adetiba, Mathew B. Akanle, Obiseye O. Obiyemi, Surendra Thakur, and Joshua Abolarinwa. "Experimentations on the Transmit Power of a Universal Software Radio Peripheral Using GNU Radio Framework and a Handheld RF Explorer." IOP Conference Series: Earth and Environmental Science 655, no. 1 (February 1, 2021): 012006. http://dx.doi.org/10.1088/1755-1315/655/1/012006.

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Christiansen, Jonas Myhre, and Graeme E. Smith. "Development and Calibration of a Low-Cost Radar Testbed Based on the Universal Software Radio Peripheral." IEEE Aerospace and Electronic Systems Magazine 34, no. 12 (December 1, 2019): 50–60. http://dx.doi.org/10.1109/maes.2019.2953803.

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Bello, N., and K. O. Ogbeide. "Designing a Real-time Swept Spectrum Analyser with USRP B210." Nigerian Journal of Environmental Sciences and Technology 5, no. 2 (October 2021): 329–39. http://dx.doi.org/10.36263/nijest.2021.02.0275.

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Cognitive radio has received considerable amount of attention as a promising technique to provide dynamic spectrum allocation. Spectrum sensing is one of the basic functions in the cognitive radio and is crucial to all other functions. Software- defined radios (SDRs) are considered due to its very high flexibility and have become a common platform for CR implementation replacing expensive spectrum analysers. The most popular among various SDR platforms is the universal software-defined radio peripheral (USRP). This paper presents a real-time swept spectrum sensing solution based on USRP B210. It also presents a detailed explanation of the concept of energy detection and the methodology for wide-band sensing. Finally, the performance of the proposed sensing solution is analysed through FFT graphs and spectrogram plot taken for 8 hours. The results showed that the proposed sensing solution was capable of achieving high resolution in the frequency domain of the wide band measured which implies that wide bands with heterogenous signals like the ISM band can be accurately resolved and analysed.

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Javidi, Giti, and Ehsan Sheybani. "Application of Digital Signal Processing in USRP Satellite Signal Detection." International Journal of Interdisciplinary Telecommunications and Networking 9, no. 2 (April 2017): 16–25. http://dx.doi.org/10.4018/ijitn.2017040102.

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The Universal Software Radio Peripheral development technique is designing and implementing radio frequency based systems. The distinctiveness originates from the interchangeable daughterboard within the USRP. The system is designed around the Xilinx Vertex 3 FPGA chip. This means C++, Python, and VHDL can be used to program this device. The project consists of creating a receiver. The objective of the project is to research and comprehend the hardware functionalities of the USRP. The purpose is to create codes in C++ and Python to implement receiving capabilities of the device. The goal of this project was to design a GPS receiver that is capable of recording the L1 signal from a DirecTV satellite. The USRP is used a lot for research. This project consisted of more than just one method. We used GNU Radio Companion and Matlab/Simulink. GNU Radio is open source for building software defined radios. It is also known as GRC. While using GRC the USRP1 was the device used. This software has rapid development. It runs in Ubuntu, a Linux operating system. Within this software there are logic blocks. Each block consists of information to create a flow graph. The flow graph builds and generates the program. Simulink can be compared to GRC. They both have logic blocks that have to be connected to run. Simulink can be used to create a transmitter or a receiver for software radio development and signal processing. Software-defined radio can only be defined if its baseband operations can be completely defined by software. A SDR converts digital to analog signals. The USRP can also convert digital signals from a computer to Radio Frequency Signals (RF). This software is one way to communicate between hardware and software.

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El Bahi, Fatima Zahra, Hicham Ghennioui, and Mohcine Zouak. "Performance Evaluation of Energy Detector Based Spectrum Sensing for Cognitive Radio using NI USRP-2930." International Journal of Electrical and Computer Engineering (IJECE) 7, no. 4 (August 1, 2017): 1934. http://dx.doi.org/10.11591/ijece.v7i4.pp1934-1940.

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This paper presents the performance evaluation of the Energy Detector technique, which is one of the most popular Spectrum Sensing (SS) technique for Cognitive Radio (CR). SS is the ability to detect the presence of a Primary User (PU) (i.e. licensed user) in order to allow a Secondary User (SU) (i.e unlicensed user) to access PU's frequency band using CR, so that the available frequency bands can be used efficiently. We used for implementation an Universal Software Radio Peripheral (USRP), which is the most used Software Defined Radio (SDR) device for research in wireless communications. Experimental measurements show that the Energy Detector can obtain good performances in low Signal to Noise Ratio (SNR) values. Furthermore, computer simulations using MATLAB are closer to those of USRP measurements.

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Valluri, Siva Prasad, and Vakamulla Venkata Mani. "Investigation of blind CFO estimation for GFDM system using universal software radio peripheral: theory, simulations and experiments." IET Communications 13, no. 13 (August 13, 2019): 1936–44. http://dx.doi.org/10.1049/iet-com.2018.5867.

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Ashleibta, Aboajeila Milad, Adnan Zahid, Syed Aziz Shah, Qammer H. Abbasi, and Muhammad Ali Imran. "Flexible and Scalable Software Defined Radio Based Testbed for Large Scale Body Movement." Electronics 9, no. 9 (August 20, 2020): 1354. http://dx.doi.org/10.3390/electronics9091354.

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Human activity (HA) sensing is becoming one of the key component in future healthcare system. The prevailing detection techniques for IHA uses ambient sensors, cameras and wearable devices that primarily require strenuous deployment overheads and raise privacy concerns as well. This paper proposes a novel, non-invasive, easily-deployable, flexible and scalable test-bed for identifying large-scale body movements based on Software Defined Radios (SDRs). Two Universal Software Radio Peripheral (USRP) models, working as SDR based transceivers, are used to extract the Channel State Information (CSI) from continuous stream of multiple frequency subcarriers. The variances of amplitude information obtained from CSI data stream are used to infer daily life activities. Different machine learning algorithms namely K-Nearest Neighbour, Decision Tree, Discriminant Analysis and Naïve Bayes are used to evaluate the overall performance of the test-bed. The training, validation and testing processes are performed by considering the time-domain statistical features obtained from CSI data. The K-nearest neighbour outperformed all aforementioned classifiers, providing an accuracy of 89.73%. This preliminary non-invasive work will open a new direction for design of scalable framework for future healthcare systems.

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J, Avila, and Thenmozhi K. "Multiband OFDM for Cognitive Radio – A Way for Cyclostationary Detection and Interference Cancellation." International Journal of Electrical and Computer Engineering (IJECE) 6, no. 4 (August 1, 2016): 1702. http://dx.doi.org/10.11591/ijece.v6i4.7560.

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With the tremendous growth in wireless technology there has been a shortage in the spectrum utilized for certain applications while some spectrum remains idle. To overcome this problem and for the efficient utilization of the spectrum cognitive radio is the suitable solution.Multiband OFDM can be easily modeled as cognitive radio, a technology that is employed for utilizing the available spectrum in the most efficient way. Since sensing of the free spectrum for detecting the arrival of the primary users is the foremost job of cognitive, here cyclostationary based spectrum sensing is carried out. Its performance is investigated using universal software defined radio peripheral (USRP) kit which is the hardware test bed for the cognitive radio system. Results are shown using Labview software. Further to mitigate the interference between the primary and cognitive users a modified intrusion elimination (AIC) algorithm had been proposed which in turn ensures the coexistence of both the users in the same wireless environment.

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J, Avila, and Thenmozhi K. "Multiband OFDM for Cognitive Radio – A Way for Cyclostationary Detection and Interference Cancellation." International Journal of Electrical and Computer Engineering (IJECE) 6, no. 4 (August 1, 2016): 1702. http://dx.doi.org/10.11591/ijece.v6i4.pp1702-1709.

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With the tremendous growth in wireless technology there has been a shortage in the spectrum utilized for certain applications while some spectrum remains idle. To overcome this problem and for the efficient utilization of the spectrum cognitive radio is the suitable solution.Multiband OFDM can be easily modeled as cognitive radio, a technology that is employed for utilizing the available spectrum in the most efficient way. Since sensing of the free spectrum for detecting the arrival of the primary users is the foremost job of cognitive, here cyclostationary based spectrum sensing is carried out. Its performance is investigated using universal software defined radio peripheral (USRP) kit which is the hardware test bed for the cognitive radio system. Results are shown using Labview software. Further to mitigate the interference between the primary and cognitive users a modified intrusion elimination (AIC) algorithm had been proposed which in turn ensures the coexistence of both the users in the same wireless environment.

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Musayyanah, Musayyanah. "Penerapan Algoritma SAGE pada Pengukuran Kanal Indoor Menggunakan SDR-USRP." JATISI (Jurnal Teknik Informatika dan Sistem Informasi) 4, no. 1 (September 17, 2017): 35–46. http://dx.doi.org/10.35957/jatisi.v4i1.86.

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Komunikasi Koperatif Nirkabel membentuk system komunikasi virtual array MIMO, yang dapat meningkatkan kecepatan pentransmisian data, kecepatan tersebut dipengaruhi oleh kondisikanal, oleh sebab itu dibutuhkan analisis kondisi kanal. Kondisi suatu kanal dapat diindentifikasi dengan mengetahui karakteristik parameter fisikkanal, yaitu delay, sudut, dan amplitude kompleks. Deteksi parameter fisik kanal dari pengukuran kanal indoor maupun outdoor menggunakan metode dengan tingkat akurasi tinggi, seperti Space Alternating Generalized EM (SAGE). Penelitian ini mengimplementasikan SAGE untuk mendeteksi parameter sudut yang terdiri dari Direction of Arrival (DoA) dan Direction of Departure (DoD) menggunakan perangkat komunikasi Software Define Radio (SDR), yaitu Universal Software Radio Peripheral (USRP) yang dapat mendeteksitiga sinyal dari pengukuran kanal indoor. Hasil SAGE divalidasi terhadap hasil Ray Tracing, dimana rata-rata kesalahan untuk deteksi DoD adalah 36.3% sedangkan DoA sekitar 29.3 %.

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Ivanov, Dmitry, Vladimir Ivanov, Vladimir Ovchinnikov, Aleksey Elsukov, and Maria Ryabova. "Adaptive wideband equalization for frequency dispersion correction in HF band considering variations in interference characteristics and ionosphere parameters." ITM Web of Conferences 30 (2019): 15021. http://dx.doi.org/10.1051/itmconf/20193015021.

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Paper presents the outcomes of the studies into the adaptive wideband equalization for frequency dispersion correction in HF band considering variations in interference characteristics and ionosphere parameters. The subject matter of the research were megahertz-bandwidth channels with single-hop F layer propagation mode. There are presented data on variations in the channel amplitude frequency response that are caused by the interference of magneto-ionic components (intramodal multipath). Test facility for carrying out full-scale experiments was developed with the use of Universal Software Radio Peripheral platform supported by the groundbreaking software-defined radio technology. Verification of the developed methods and algorithms was performed in the experiments on oblique sounding over the Cyprus-to-Yoshkar-Ola propagation path by the linearly frequency modulated continuous wave signal.

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Min, Tianyang, Kentaro Saito, and Jun-ichi Takada. "DEVELOPMENT OF DIRECTIONALCHANNEL SOUNDER USING USRPAND GNU RADIO." ASEAN Engineering Journal 7, no. 1 (January 8, 2017): 69–79. http://dx.doi.org/10.11113/aej.v7.15488.

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MIMO channel sounding is essential for evaluating the MIMO transmission performance in real propagation environments. In this paper, we have developed a versatile channel sounder by using the GNU Radio and Universal Software Radio Peripheral (USRP) platform and the virtual antenna array method. The developed channel sounder is low cost and can be utilized flexibly for measurements in the UHF band. The performance of the developed channel sounder was validated through a T-junction cable connected test and an indoor channel measurement. The result showed that the performance quite agreed with the measurement of a VNA-based measurement system. The developed channel sounder is expected to be utilized for various kinds of propagation channel measurements.

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Reddy, B. Siva Kumar, and B. Lakshmi. "Minimizing PAPR and Synchronization Errors in OFDM for WiMAX Using Software Defined Radio." Journal of Circuits, Systems and Computers 24, no. 04 (March 4, 2015): 1550060. http://dx.doi.org/10.1142/s0218126615500607.

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This paper addresses the reduction of peak-to-average power ratio (PAPR) and synchronization errors of an orthogonal frequency division multiplexing (OFDM) for Mobile-WiMAX physical layer (PHY) standard. In the process, the best achievable PAPR of 0 dB with efficient power amplification is found for the OFDM signal using phase modulation technique, which avoids the nonlinear distortion. Further, the constant modulus algorithm (CMA) and sign kurtosis maximization adaptive algorithm (SKMAA) equalizers are used in the system to reduce the synchronization errors. However, the experimental study is performed on a test platform for a practical proof of the concept. The test platform is based on the Ettus universal software radio peripheral (USRP) N210 hardware and the GNU Radio open source software. Several tests are carried out to observe the effect of equalizers on the system. The performance comparison of bit error rate/symbol error rate (BER/SER) values are tabulated for the system with and without equalization.

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Park, Kwi Woo, Min Joon Lee, and Chansik Park. "A Design of Anti-jamming Method Based on Spectrum Sensing and GNSS Software Defined Radio." E3S Web of Conferences 94 (2019): 03004. http://dx.doi.org/10.1051/e3sconf/20199403004.

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This paper presents result of new approach for anti-jamming using a method based on cognitive radio. To detect and get center frequency and bandwidth of jamming, a spectrum sensing based on multi-channel energy detector is implemented on the SDR. The SDR and a universal software radio peripheral is used to support real-time channel reconfiguration. And detected center frequency and bandwidth is used to select LO frequency to avoid jamming and receive GNSS signal. Then the receiver is reconfigured by the selected LO frequency. To verify the feasibility of the proposed anti-jamming process, position, carrier to noise ratio of each channel are measured using a test scenario that is consist of GPS and Beidou with a CW jamming. As a results, by switching of LO frequency, GNSS signal that is not affected by jamming can be received with the same performance as non-jamming.

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Guo, Ning Yan, Yan Zhao, and Tian Xing Chu. "Galileo E5 Signal Acquisition and Tracking Based on a Wide-Band Customized Universal Peripheral N210 Platform." Advanced Materials Research 765-767 (September 2013): 2686–90. http://dx.doi.org/10.4028/www.scientific.net/amr.765-767.2686.

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GNSS navigation has its own advantages which make researchers focus on how to effectively receive and process GNSS signals. This typically needs to utilize flexible specialized radio frequency front-ends, and we need to investigate novel software solutions. Due to the good performance of the Galileo E5 signal, the study of its acquisition, tracking and multipath mitigation has become increasingly significant. This paper has developed a customized 100MHz wide-band GNSS front-end. Three wide-band datasets of Galileo E5 signal were collected for case study. Final acquisition and tracking results of Galileo E5a signal successfully verified this customized RF front-end usability. It offers great potential for further studying the multi-constellation GNSS compatibility and interoperability to achieve high accuracy and continuity of GNSS navigation.

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Firdaoussi, Mohamed, Hicham Ghennioui, Mohamed El Kamili, and Mohamed Lamrini. "Performance evaluation of new blind OFDM signal recognition based on properties of the second-order statistics using universal software radio peripheral platform." Indonesian Journal of Electrical Engineering and Computer Science 23, no. 2 (August 1, 2021): 1227. http://dx.doi.org/10.11591/ijeecs.v23.i2.pp1227-1236.

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<div>In the context of cognitive radio (CR) or various military and civilian applications, modulation recognition (MR) is one of the most popular technical processes in the field of communication system recognition, by which the modulation type of the unknown received signal can be identified automatically by estimating one or more parameters of the modulated signal. This paper presents the performance evaluation of the new proposed blind system recognition method using only a particular property of the second-order statistics of the orthogonal frequency division multiplexing (OFDM) modulated signal. The effectiveness of the proposed method is illustrated using the implementation on universal software radio peripheral (USRP) platform. A comparison with computer simulations using MATLAB software is also performed, emphasizing the good performances of the method while the results obtained are close. We show the efficiency and behavior of the proposed method in the context of wireless communication systems based on OFDM modulation (3GPP/LTE, WiMAX, DVBT-2K, IEEE 802.22-1K,IEEE 802.22-2K, IEEE 802.22-4K). The proposed method can detect OF DM signals among other digital signals in a systematic and intelligent way even with low SNR values (when approaching to SNR=-2dB, the decision criteria tends towards 0).</div>

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Kim, Kyunghoon, Yong Jin, Donghyun Kum, Seungwon Choi, Markus Mueck, and Vladimir Ivanov. "ETSI-Standard Reconfigurable Mobile Device for Supporting the Licensed Shared Access." Mobile Information Systems 2016 (2016): 1–11. http://dx.doi.org/10.1155/2016/8035876.

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In order for a Mobile Device (MD) to support the Licensed Shared Access (LSA), the MD should be reconfigurable, meaning that the configuration of a MD must be adaptively changed in accordance with the communication standard adopted in a given LSA system. Based on the standard architecture for reconfigurable MD defined in Working Group (WG) 2 of the Technical Committee (TC) Reconfigurable Radio System (RRS) of the European Telecommunications Standards Institute (ETSI), this paper presents a procedure to transfer control signals among the software entities of a reconfigurable MD required for implementing the LSA. This paper also presents an implementation of a reconfigurable MD prototype that realizes the proposed procedure. The modem and Radio Frequency (RF) part of the prototype MD are implemented with the NVIDIA GeForce GTX Titan Graphic Processing Unit (GPU) and the Universal Software Radio Peripheral (USRP) N210, respectively. With a preset scenario that consists of five time slots from different signal environments, we demonstrate superb performance of the reconfigurable MD in comparison to the conventional nonreconfigurable MD in terms of the data receiving rate available in the LSA band at 2.3–2.4 GHz.

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Amanna, Ashwin, Daniel Ali, David Gonzalez Fitch, and Jeffrey H. Reed. "Hybrid Experiential-Heuristic Cognitive Radio Engine Architecture and Implementation." Journal of Computer Networks and Communications 2012 (2012): 1–15. http://dx.doi.org/10.1155/2012/549106.

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The concept of cognitive radio (CR) focuses on devices that can sense their environment, adapt configuration parameters, and learn from past behaviors. Architectures tend towards simplified decision-making algorithms inspired by human cognition. Initial works defined cognitive engines (CEs) founded on heuristics, such as genetic algorithms (GAs), and case-based reasoning (CBR) experiential learning algorithms. This hybrid architecture enables both long-term learning, faster decisions based on past experience, and capability to still adapt to new environments. This paper details an autonomous implementation of a hybrid CBR-GA CE architecture on a universal serial radio peripheral (USRP) software-defined radio focused on link adaptation. Details include overall process flow, case base structure/retrieval method, estimation approach within the GA, and hardware-software lessons learned. Unique solutions to realizing the concept include mechanisms for combining vector distance and past fitness into an aggregate quantification of similarity. Over-the-air performance under several interference conditions is measured using signal-to-noise ratio, packet error rate, spectral efficiency, and throughput as observable metrics. Results indicate that the CE is successfully able to autonomously change transmit power, modulation/coding, and packet size to maintain the link while a non-cognitive approach loses connectivity. Solutions to existing shortcomings are proposed for improving case-base searching and performance estimation methods.

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Et.al, Mohammad Azmi Ridwan. "Fiber-Wireless Testbed using Software Defined Radio for Protocol and Algorithm Testing." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 3 (April 11, 2021): 1647–56. http://dx.doi.org/10.17762/turcomat.v12i3.985.

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Fiber-Wireless (FiWi) network is able to provide abundant bandwidth capacity and mobility to the end-users. It also eliminates the needs of having complete tedious end-to-end fiber installation from the central office to the users which saves tremendous capital expenditure. However, FiWi is still progressing. Researchers worldwide are still developing experimental works for improvement on the network reliability, quality-of-services and security. Almost all recently proposed testbed designed for FiWi are using hardware that lacks in programmability feature, making it difficult to implement any protocols and algorithms. A testbed must be flexible, scalable and reprogrammable so that various experiments and testing can be implemented easily for testing purposes. In this paper, a reprogrammable FiWi testbed using software defined radio (SDR) is proposed. One of the most prominent SDR available in the market is Universal Software Radio Peripheral (USRP). It is chosen to be used in this paper as it is equipped with a user-friendly programming platform; LabVIEW. To test the testbed’s reprogrammability feature, two algorithms are implemented for proof-of-concept; collision avoidance and dynamic bandwidth allocation. The collision avoidance algorithm is implemented in the wireless side of the testbed using the concept of Carrier Sensing Multiple Access/Collision Avoidance. At the fiber domain, a dynamic bandwidth allocation-limited scheduling is incorporated in the testbed. The results show that algorithms implemented in the testbed are in-line with the expected results. It proves that the testbed can be used for future algorithm testing for research purposes.

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Ghiaasi, Golsa, Thomas Blazek, Mehdi Ashury, Rute Ramalho Santos, and Christoph Mecklenbräuker. "Real-Time Emulation of Nonstationary Channels in Safety-Relevant Vehicular Scenarios." Wireless Communications and Mobile Computing 2018 (May 8, 2018): 1–11. http://dx.doi.org/10.1155/2018/2423837.

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This paper proposes and discusses the architecture for a real-time vehicular channel emulator capable of reproducing the input/output behavior of nonstationary time-variant radio propagation channels in safety-relevant vehicular scenarios. The vehicular channel emulator architecture aims at a hardware implementation which requires minimal hardware complexity for emulating channels with the varying delay-Doppler characteristics of safety-relevant vehicular scenarios. The varying delay-Doppler characteristics require real-time updates to the multipath propagation model for each local stationarity region. The vehicular channel emulator is used for benchmarking the packet error performance of commercial off-the-shelf (COTS) vehicular IEEE 802.11p modems and a fully software-defined radio-based IEEE 802.11p modem stack. The packet error ratio (PER) estimated from temporal averaging over a single virtual drive and the packet error probability (PEP) estimated from ensemble averaging over repeated virtual drives are evaluated and compared for the same vehicular scenario. The proposed architecture is realized as a virtual instrument on National Instruments™ LabVIEW. The National Instrument universal software radio peripheral with reconfigurable input-output (USRP-Rio) 2953R is used as the software-defined radio platform for implementation; however, the results and considerations reported are of general purpose and can be applied to other platforms. Finally, we discuss the PER performance of the modem for two categories of vehicular channel models: a vehicular nonstationary channel model derived for urban single lane street crossing scenario of the DRIVEWAY’09 measurement campaign and the stationary ETSI models.

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Popoola, Jide Julius, and Rex van Olst. "The performance evaluation of a spectrum sensing implementation using an automatic modulation classification detection method with a Universal Software Radio Peripheral." Expert Systems with Applications 40, no. 6 (May 2013): 2165–73. http://dx.doi.org/10.1016/j.eswa.2012.10.047.

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Küçük, Kerem. "2.4 GHz Real-Time Prototyping Tool for OFDM Channel Estimation using USRP2 and LabVIEW." Journal of Circuits, Systems and Computers 28, no. 14 (March 6, 2019): 1950236. http://dx.doi.org/10.1142/s0218126619502360.

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Wireless local area networks (WLANs) are currently playing an important role in serving the indoor traffic demand. Therefore, there is a need for software-defined radio platforms (SDRs) that can enable the solutions used in these systems to be tested in real environments as well as simulated results. In this paper, we present the SDR-based wireless receiver platform for determining the real-time WLANs performance and provide the comparison of the different channel estimation methods for IEEE 802.11g based on orthogonal frequency division multiplexing (OFDM) operations. The implementation of the receiver comprises the universal software radio peripheral and National Instruments LabVIEW. To determine the real-time receiver tool performance, we emphasized necessary signal processing techniques and different channel estimation methods with varying experimental parameters in real wireless environments. Experimental results report that the SDR-based receiver tool with the LabVIEW in real-time provides the throughput of the OFDM wireless network. The captured throughput performance concerning frame error rate by the receiver is also scrutinized with different channel estimation methods.

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Taras, Maksymyuk, Shubyn Bohdan, Andrushchak Volodymyr, Beshley Halyna, Dumych Stepan, and Klymash Mykhailo. "PRACTICAL IMPLEMENTATION OF THE SOFTWARE DEFINED 5G MOBILE NETWORK BASED ON CLOUD-RAN AND SDR TECHNOLOGIES." Visnyk Universytetu “Ukraina”, no. 1 (28) 2020 (2020): 23–34. http://dx.doi.org/10.36994/2707-4110-2020-1-28-02.

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The paper is devoted to the practical implementation aspects of a software-defined mobile network based on the Cloud-RAN architecture and universal software radio peripheral National Instruments USRP 2900. We propose a multilayer network architecture, which consists of a radio access network (RAN) plane, a core plane, a control plane, an artificial intelligence (AI) plane, and a monitoring system that collects data about network performance. The RAN plane provides all functions related to channel scheduling, data encoding and signal processing and combines all macro and small cells, as well as Wi-Fi access points. The core plane provides functionality of the evolved packet core such as service and packet gateways, mobility management entities and edge routers. The control plane is responsible for load balancing over all cells, spectrum sharing, spectrum reallocation, infrastructure reconfiguration, and other management parameters. The AI plane is responsible for inference and decisions making about optimal network configuration taking into account instantaneous network conditions. Such decisions are supported by a set of machine learning models, which are trained over the available statistics, collected through a long-term period of network operation. External monitoring system provides the needed data for AI plane by using the MQTT (Message Queue Telemetry Transport) protocol to collect information from all base stations, Wi-Fi access points and mobile devices.The proposed system enables the logical network slicing into multiple isolated segments over a single physical infrastructure by using virtualization of radio resources. A new method of intelligent radio resource management is proposed to improve the efficiency of spectrum utilization by predicting traffic demand of particular network sliced using deep recurrent neural network. Simulation results show that for the case of network slicing the proposed method allows to double the capacity of the physical network infrastructure, while ensuring the target quality of service for all users.

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Bang, Inkyu, Hyunwoo Nam, Woohyuk Chang, Taehoon Kim, Jong-Myung Woo, Choul-Young Kim, Tae-Won Ban, Pangun Park, and Bang Jung. "Channel Measurement and Feasibility Test for Wireless Avionics Intra-Communications." Sensors 19, no. 6 (March 14, 2019): 1294. http://dx.doi.org/10.3390/s19061294.

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Wireless avionics intra-communication (WAIC) refers to a wireless communication system among electronic components (e.g., sensors and actuators) that are integrated or installed in an aircraft and it is proposed to replace heavy and expensive wired communication cables. Recently, the use of a frequency band (4.2–4.4 GHz) for the WAIC (so-called, WAIC band) has been approved by international telecommunication union (ITU). Accordingly, several existing wireless protocols such as IEEE 802.11 and IEEE 802.15 are being considered as candidate techniques for the intra-avionics sensor network. In this paper, we perform a real field experiment to investigate wireless channel characteristics in intra-avionics sensor networks at the WAIC bands by a software-defined radio platform (universal software radio peripheral, USRP) and self-produced monopole antennas for the WAIC band. Through the experiment, we validated the feasibility of IEEE 802.11 protocol for the intra-avionics sensor network at the WAIC band in real aircraft environments. Furthermore, based on the measurement data, we evaluated the bit error rate (BER) performance of multiple antenna techniques where we considered the maximum ratio combining (MRC) for the multi-antenna receiver and the space-time block coding (STBC) for the multi-antenna transmitter.

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Toker, Onur, and Rawa Adla. "A Sub-6 GHz Vital Signs Sensor Using Software Defined Radios." Engineering Proceedings 2, no. 1 (November 14, 2020): 38. http://dx.doi.org/10.3390/ecsa-7-08197.

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Recently, there has been high demand for contactless devices for monitoring vital signs, therefore developing a low-cost contactless breathing sensor would have a great benefit for many patients and healthcare workers. In this paper, we propose a contactless sub-6 GHz breathing sensor with an implementation using a low-cost universal software radio peripheral (USRP) B205-mini device. A detailed performance analysis of the proposed system with different sensor algorithms is presented. The proposed system estimates the channel phase shift and detects the presence of low frequency oscillations in the estimated phase shift. Compared to 24 or 77 GHz FMCW-radar-based systems using distance measurements, the proposed system is simpler, can be built using more economical RF components, and requires lower sampling frequencies. Another key advantage of the proposed system is that even a very narrow unused frequency band is enough for the operation of the sensor. When operated at frequencies shared by other devices, the proposed system can turn off the transmitter at randomly selected intervals to detect the presence of other transmission activities, and can then switch to a different operating frequency. We provide both Python- and Octave/MATLAB-based implementations, which are available in a public GitHub repository.

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Marinova, Galia, and Zdravka Tchobanova. "Circuit Design for Green Communications – Methods, Tools and Examples." Spring 2017 5, no. 2 (May 1, 2017): 1–11. http://dx.doi.org/10.33107/ijbte.2017.5.2.01.

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The paper makes an overview of the existing methods applied for circuit design with low power consumption objective. It considers Computer-Aided Design (CAD) tools and modules for power consumption estimation at the design stage. For analog and mixed analog-digital circuit design, the power estimation options in ORCAD Design Suit with PSpice and Analog Filter Wizard are studied. For digital communication systems the study covers the power estimation, analysis and optimization in ISE and Vivado systems, Xilinx Power Estimator (XPE) tool and spreadsheet, the XPower Analyzer, as well as similar tools proposed by ALTERA - PowerPlay Early Power Estimator and QUARTUS II Power Play Power Analyzer. Two examples are developed: Power consumption estimation of a Universal Software Radio Peripheral (USRP)-based communication system design, based on datasheets and software energy monitoring tools, and power consumption estimation of a Kasami pseudo-random sequence generator circuit design on FPGA using Vivado.

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Zhu, Lei, Xiao Bo Huo, Jiang Yong Wu, and Hui Jun Wang. "Multifunction USB FM Radio Based on LabVIEW." Applied Mechanics and Materials 347-350 (August 2013): 1477–81. http://dx.doi.org/10.4028/www.scientific.net/amm.347-350.1477.

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In order to make common PC with the functions of receiving FM stereo broadcasting from the local FM radio station and collecting the temperature and humidity data in surrounding environment, a multifunction USB FM radio based on LabVIEW is presented in this paper. In the presented FM radio, the C8051F340 processor with on-chip universal serial bus (USB) peripherals is used as slave computer to control the Si4702 through I2C bus and the DHT11 through I/O port, and PC is designed to be host computer to get user instructions and connect and control the slave computer to finish the functions of receiving FM stereo broadcasting and collecting the temperature and humidity data by graphical user interface (GUI) programed by LabVIEW software and USB communication. Experimental results show that the presented USB FM radio has a friendly GUI and can be used feasibly and efficiently. Furthermore, new functions of the system can be extended by virtue of upgrading GUI program.

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Elsanousi, A., and S. Oztürk. "Performance Analysis of OFDM and OFDM-MIMO Systems under Fading Channels." Engineering, Technology & Applied Science Research 8, no. 4 (August 18, 2018): 3249–54. http://dx.doi.org/10.48084/etasr.2209.

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Fourth-generation (4G) wireless communication system is mainly based on MIMO (multiple input and multiple output) and OFDM (orthogonal frequency division multiplexing). The combination of these two techniques leads to a better system, known as OFDM-MIMO system, providing higher capacity and data rate. This paper demonstrates the BER (bit error rate) performance of OFDM and OFDM-MIMO system using convolution code to encrypt the data stream that can be sent over communication channels. Simulation is made on Matlab using three different channels (AWGN, Rician and Rayleigh). The simulation results show that the combined system has better performance compared to OFDM system. The practical part of this study was conducted by using two USRPs B210 (universal software radio peripheral) for transmitting and receiving, two antennas were used during transmission for both sides. The transmitted signal is successfully recovered.

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Han, Seungnam, Yonggu Lee, Jinho Choi, and Euiseok Hwang. "Lightweight Physical Layer Aided Key Agreement and Authentication for the Internet of Things." Electronics 10, no. 14 (July 19, 2021): 1730. http://dx.doi.org/10.3390/electronics10141730.

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In this paper, we propose a lightweight physical layer aided authentication and key agreement (PL-AKA) protocol in the Internet of Things (IoT). The conventional evolved packet system AKA (EPS-AKA) used in long-term evolution (LTE) systems may suffer from congestion in core networks by the large signaling overhead as the number of IoT devices increases. Thus, in order to alleviate the overhead, we consider cross-layer authentication by integrating physical layer approaches to cryptography-based schemes. To demonstrate the feasibility of the PL-AKA, universal software radio peripheral (USRP) based tests are conducted as well as numerical simulations. The proposed scheme shows a significant reduction in the signaling overhead, compared to the conventional EPS-AKA in both the simulation and experiment. Therefore, the proposed lightweight PL-AKA has the potential for practical and efficient implementation of large-scale IoT networks.

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Silva, Francisco S. S., Andson M. Balieiro, Francisco F. de Mendoça, Kelvin L. Dias, and Paulo Guarda. "A Conformance Testing Methodology and System for Cognitive Radios." Wireless Communications and Mobile Computing 2021 (January 29, 2021): 1–15. http://dx.doi.org/10.1155/2021/8869104.

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The fifth generation (5G) of mobile networks has started its operation in some countries and is aimed at meeting demands beyond the current system capabilities such as the huge amount of connected devices from IoT applications (e.g., smart cities), explosive growth of high-speed mobile data traffic (e.g., ultrahigh definition video streaming), and ultrareliable and low latency communication (e.g., autonomous vehicle). To attend to these needs, the electromagnetic spectrum must be made available, but the static spectrum allocation policy has caused a spectrum shortage and impaired the employment/expansion of the wireless systems. To overcome this issue, the dynamic spectrum access (DSA) has been promoted in 5G/6G networks, which is enabled by the cognitive radio (CR) technology. Although diverse mechanisms have been developed to tackle the challenges that emerge in different CR layers/functionalities, a standardized testing methodology and system for CR is still immature. Existing standards or methodologies and systems for CR only focus on the definition of network technologies (e.g., IEEE 802.22 and IEEE 802.11af), performance evaluation of CR algorithms/mechanisms, or definition of the device cognition level via performance results or psychometric approaches, not covering systems/methodologies to verify if the device meets the CR capabilities and regulatory policies, neglecting the conformance testing. In this respect, this paper proposes a flexible methodology and system for CR conformance testing under two perspectives, functionalities and limits. We instantiate it by using the Universal Software Radio Peripheral (USRP) software-defined radio platform and present a proof-of-concept with a conformance metric. The results show the feasibility of our proposal.

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Ma, Xiaolin, Running Zhao, Xinhua Liu, Hailan Kuang, and Mohammed A. A. Al-qaness. "Classification of Human Motions Using Micro-Doppler Radar in the Environments with Micro-Motion Interference." Sensors 19, no. 11 (June 7, 2019): 2598. http://dx.doi.org/10.3390/s19112598.

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Human motion classification based on micro-Doppler effect has been widely used in various fields. However, the motion classification performance would be greatly degraded if the wireless environment has non-target micro-motion interference. In this case, the interference signal aliases with the signal of target human motions and then generates cross-terms, making the signals hard to be used to identify target human motions. Existing methods do not consider this non-target micro-motion interference and have poor resistance to such interference. In this paper, we propose a target human motion classification system that can work in the scenarios with non-target micro-motion interference. Specifically, we build a continuous wave radar transceiver working in a low-frequency radar band using the software defined radio equipment Universal Software Radio Peripheral (USRP) N210 to collect signals. Moreover, we use Empirical Mode Decomposition and S-transform successively to remove non-target micro-motion interference and improve the time-frequency resolution of the raw signal. Then, an Energy Aggregation method based on S-method is proposed, which can suppress cross-terms and background noise. Furthermore, we extract a set of features and classify four human motions by adopting Bagged Trees. Extensive experiments using the test-bed show that under the scenarios with non-target micro-motion interference, 97.3% classification accuracy can be achieved.

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Telagam, Nagarjuna, Padma Charan Sahu, Sunita Panda, and Nehru Kandasamy. "USRP Based Digital Audio Broadcasting Using OFDM in Virtual and Remote Laboratory." International Journal of Online and Biomedical Engineering (iJOE) 15, no. 13 (September 30, 2019): 77. http://dx.doi.org/10.3991/ijoe.v15i13.8761.

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Digital Audio Broadcasting (DAB) is an amazing technology, achieving its promise of certainly delivering high quality digital audio in the most vindicate mobile and fixed receiver environments. The radio signal processing capability can be provided by Universal software radio peripheral (USRP) hardware. The received signal frequency can be controlled and transmitting the signal through wireless is possible by installing NI USRP utility configuration. The programmable USRP was running the VI snippet program in block diagram panel with radio companion integrated through USB cable on windows 7 64. With the parameters such as IQ rate, transmitter gain, carrier frequency along with device name which is given as ni2901_1 the students can able to tune the radio signal. DAB technology is integrated with USRP device using prominent OFDM technique for promise delivery of high quality audio signal. DAB works under four transmission modes in this paper. In this paper RF0 module is used USRP device is connected with dual band vertical antenna with 2.4 and 5GHz frequency as Tx1. This transmitting VI snippet program will support all file formats such as.wav, mp3, etc. the intention of the paper is to transmit the real time data through long distance using DAB technology in remote laboratory. The proposed system is implemented in virtual lab so that it can be accessed by any user from anywhere. This system is successfully tested on institute of aeronautical engineering virtual lab.

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Zhao, Caidan, Caiyun Chen, Zeping He, and Zhiqiang Wu. "Application of Auxiliary Classifier Wasserstein Generative Adversarial Networks in Wireless Signal Classification of Illegal Unmanned Aerial Vehicles." Applied Sciences 8, no. 12 (December 18, 2018): 2664. http://dx.doi.org/10.3390/app8122664.

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Recently, many studies have reported on image synthesis based on Generative Adversarial Networks (GAN). However, the use of GAN does not provide much attention on the signal classification problem. In the context of using wireless signals to classify illegal Unmanned Aerial Vehicles (UAVs), this paper explores the feasibility of using GAN to improve the training datasets and obtain a better classification model, thereby improving the accuracy of classification. First, we use the generative model of GAN to generate a large datasets, which does not need manual annotation. At the same time, the discriminative model of GAN is improved to classify the types of signals based on the loss function of the discriminative model. Finally, this model can be used to the outdoor environment and obtain a real-time illegal UAVs signal classification system. Our experiments confirmed that the improvements on the Auxiliary Classifier Generative Adversarial Networks (AC-GANs) by limited datasets achieve excellent results. The recognition rate can reach more than 95% in the indoor environment, and this method is also applicable in the outdoor environment. Moreover, based on the theory of Wasserstein GANs (WGAN) and AC-GANs, a more robust Auxiliary Classifier Wasserstein GANs (AC-WGANs) model is obtained, which is suitable for multi-class UAVs. Through the combination of AC-WGANs and Universal Software Radio Peripheral (USRP) B210 software defined radio (SDR) platform, a real-time UAVs signal classification system is also implemented.

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Yaqoob, Y. J. I. A., W. L. Pang, S. K. Wong, and K. Y. Chan. "Performance evaluation of video streaming on LTE with coexistence of Wi-Fi signal." Bulletin of Electrical Engineering and Informatics 8, no. 3 (September 1, 2019): 890–97. http://dx.doi.org/10.11591/eei.v8i3.1580.

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The continuous growth in mobile data traffic and limited license wireless spectrum have led to dramatically increase the demand of the radio spectrum. It is widespread the concern about the coexistence of long term evolution (LTE) and Wi-Fi in the unlicensed band. There are several techniques have been proposed to enable the coexistence of LTE and Wi-Fi in the unlicensed band, but these works are targeted on the impact of the LTE to the Wi-Fi network performance. An experiment is carried out in this work to evaluate the impact of Wi-Fi signal on the video streaming in the LTE network. The experimental test comprised of the national instrument (NI) universal software radio peripheral (USRP) 2953R that is controlled by the LabVIEW Communication LTE application framework. Extensiveexperiments are carried out under two scenarios, i.e. (1) Coexistence of LTE and Wi-Fi signal, (2) LTE signal only. Performance evaluations are carried out with different Modulation and coding schemes (MCS) values and different mode of operations, i.e. frequency division duplex (FDD) and time division duplex (TDD) mode. The results illustrated that the interference from Wi-Fi signal caused the performance degradation of the LTE network in throughput and the power received by user equipment (UE).

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Zhang, Zhongfeng, Minjae Lee, and Seungwon Choi. "Deep-Learning-Based Wi-Fi Indoor Positioning System Using Continuous CSI of Trajectories." Sensors 21, no. 17 (August 27, 2021): 5776. http://dx.doi.org/10.3390/s21175776.

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In a Wi-Fi indoor positioning system (IPS), the performance of the IPS depends on the channel state information (CSI), which is often limited due to the multipath fading effect, especially in indoor environments involving multiple non-line-of-sight propagation paths. In this paper, we propose a novel IPS utilizing trajectory CSI observed from predetermined trajectories instead of the CSI collected at each stationary location; thus, the proposed method enables all the CSI along each route to be continuously encountered in the observation. Further, by using a generative adversarial network (GAN), which helps enlarge the training dataset, the cost of trajectory CSI collection can be significantly reduced. To fully exploit the trajectory CSI’s spatial and temporal information, the proposed IPS employs a deep learning network of a one-dimensional convolutional neural network–long short-term memory (1DCNN-LSTM). The proposed IPS was hardware-implemented, where digital signal processors and a universal software radio peripheral were used as a modem and radio frequency transceiver, respectively, for both access point and mobile device of Wi-Fi. We verified that the proposed IPS based on the trajectory CSI far outperforms the state-of-the-art IPS based on the CSI collected from stationary locations through extensive experimental tests and computer simulations.

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Journal articles on the topic 'Universal software radio peripheral'

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